An essay co-authored by Prof. Simon Johnson in Project Syndicate argues that for all the predictions about AI’s effect on the workforce, the most likely outcome is that many people will face pressure to change jobs as the labor market adjusts. Policymakers must focus on human capital, he writes, and “shared prosperity can flow from new technology, but only if its adoption is accompanied by upgraded human skills and more proactive worker redeployment.”
Prof. Stuart Madnick speaks with CNBC reporter Trevor Laurence Jockims about the importance of embedding cybersecurity into company culture. “Cybersecurity has to be in the culture of the organization,” says Madnick. “Corporate culture prioritizes other things over security and risk management.”
The Hill reporter Tobias Burns spotlights the efforts of a number of MIT researchers to better understand the impact of generative AI on productivity in the workforce. One research study “looked as cases where AI helped improved productivity and worker experience specifically in outsourced settings, such as call centers,” explains Burns. Another research study explored the impact of AI programs, such as ChatGPT, among employees.
“We know the movie and we know how it ends,” said Squawk Box host Andrew Ross Sorkin during an interview with Prof. Eric So, referencing a resurgence of the late 2020 meme stocks craze. “Stock prices move to business fundamentals but they also move to waves of market sentiment which reflect market demand but have little to do with fundamentals,” So comments.
In an article for Fast Company, Lecturer Guadalupe Hayes-Mota offers five takeaways concerning the potential impact of AI on healthcare. Understanding AI’s healthcare potential “is crucial for business leaders and policymakers to foster an environment where AI and other analytics tools enhance rather than complicate societal outcomes,” Hayes-Mota writes.
An opinion piece by Katie Martin of the Financial Times explores how Prof. Emil Verner and colleagues have found that climate pledges made by banks and other financial institutions are not effective at reducing carbon emissions. “We find no evidence of reduced financed emissions through engagement,” the paper states. “We conclude that net zero commitments do not lead to meaningful changes in bank behavior.”
Scroll.in reporter Deepa Gahlot reviews “Srikanth,” a biopic highlighting the life of Srikanth Bolla '13, the blind founder of Bollant Industries. Bolla is “by any measure a poster boy of unflinching determination and never taking no for an answer,” writes Gahlot. “The film is so earnest, so sunshine-y, [and] the hero so inspiring.”
Alex Viega of the Associated Press reports on the death of former MIT Prof. James Simons '58, a life member emeritus of the MIT Corporation and “a renowned mathematician and pioneering investor who built a fortune on Wall Street and then became one of the nation’s biggest philanthropists.” Simons and his wife Marilyn co-founded the Simons Foundation, whose president said, “Jim was an exceptional leader who did transformative work in mathematics and developed a world-leading investment company.”
Researchers from MIT and elsewhere have found that “showing AI-generated images of a less car-reliant American city boosted support for sustainable transportation policies,” reports Linda Poon for Bloomberg. “Let’s help them imagine what it would actually be like to live in a car-less neighborhood, and a car-less city,” says postdoctoral associate Rachit Dubey.
Prof. John Sterman speaks with New York Times reporter Susan Shain about the effectiveness of flight offsets. Sterman explains that few offset project results are verifiable, immediate and durable, part of his criteria for legitimacy. Better recommendations include insulating your home or buying an electric car.
A new report by Principal Research Scientist Andrew McAfee explores the “implications of generative AI in economic growth, looking at everything from its possible effects on job skills and wages to how it may transform entire industries to its potential risks and pitfalls,” reports Sheryl Estrada for Fortune.
Prof. Christopher Knittel speaks with The Hill reporters Rachel Frazin and Zack Budryk about the implications of the latest climate rule put in place to mitigate power plant emissions. “What we’ve seen, even without these rules, is that coal generation is failing,” says Knittel. “These new rules will certainly push to speed that transition up.”
Writing for Project Syndicate, Institute Prof. Daron Acemoglu and Prof. Simon Johnson draw upon the work of economist David Ricardo and his insights on the Industrial Revolution to explore how to respond to the challenge posed by AI to good jobs. “It is still possible to have pro-worker AI, but only if we can change the direction of innovation in the tech industry and introduce new regulations and institutions,” they write.
Bloomberg Opinion columnist Parmy Olson spotlights a new study by MIT researchers that finds AI chatbots can be highly persuasive when reinforced with facts and could potentially be used to help tackle conspiracy theories. “The scientists invited more than 2,000 people who believed in different conspiracy theories to summarize their positions to a chatbot — powered by OpenAI’s latest publicly available language model — and briefly debate them with the bot,” Olson writes. “On average, participants subsequently described themselves as 20% less confident in the conspiracy theory; their views remained softened even two months later.”
Writing for Forbes, Prof. Christian Catalini makes the case that when it comes to today’s digital infrastructure, from AI and robotics to financial services and digital marketplaces, “if the United States wants to continue to lead, it needs to create the right conditions for competition to thrive. Like in the early days of the internet, this starts with policymakers embracing and nurturing a novel architecture based on open protocols.”